Architecture 2.0 Workshop: How Machine Learning Will Redefine Computer Architecture and Systems
Benchmarks, Competitions, Datasets, Leaderboards, Machine Learning, ML4Sys, MLSys
Archive of posts tagged: Machine Learning
Think Twice Before… Using Machine Learning to Manage Cloud Resources
How many times have you tried setting up a virtual machine, container pods or serveless functions in the cloud and wondered how many resources (cores, memory etc.) to configure? In practice, users request more resources than actually end up using. This is a known...
Architecture 2.0: Why Computer Architects Need a Data-Centric AI Gymnasium
Machine learning driven computer architecture tools and methods have the potential to drastically shape the future of computer architecture. The question is: how can we lay the foundation to effectively usher in this era? In this post, we delve into the transformative...
Is It Time To Give Memory Allocator Its Own Room In The House?
Implications of Machine Learning (ML), be the training or inference serving, have steered systems and architecture research accordingly. A significant amount of work is happening in the Systems for ML space ranging from building efficient systems for data...
Picking Your Research Direction: Trade-offs You Should Consider
Modern research in computer architecture has been developed far beyond the conventional textbook topics of processor microarchitectures and memory hierarchies, now expanding to a much more diverse range of novel areas. Computer architects can explore many promising...Subscribe
